Chaojun Li
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 2%
- COVID-19 Impact on Reproduction
Papers in
-
- Metabolism, Diabetes, and Cancer 8
- Physiology 23
- Adipose Tissue and Metabolism 11
- Diet and metabolism studies 5
- Co-authors
- Bin Xue (32 shared papers)Wen Ning (10 shared papers)Augustine M.K. Choi (8 shared papers)Feiyan Pan (15 shared papers)Shan Jiang (11 shared papers)Ning Shen (8 shared papers)Carol Feghali‐Bostwick (3 shared papers)Xiao Yu (4 shared papers)
- Journals
- Journal of Biological Chemistry (9 papers)American Journal Of Pathology (5 papers)Biochemical and Biophysical Research Communications (4 papers)FEBS Letters (4 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chaojun Li
151 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 151
- Cancer Research 436
- Obstetrics and Gynecology 210
- Molecular Biology 1.9k
- Aging 44
- Cell Biology 339
Countries citing papers authored by Chaojun Li
This map shows the geographic impact of Chaojun Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chaojun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaojun Li more than expected).
Fields of papers citing papers by Chaojun Li
This network shows the impact of papers produced by Chaojun Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chaojun Li. The network helps show where Chaojun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaojun Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 154 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 265 | |
| 2 | 2020 | 223 | |
| 3 | 2006 | 197 | |
| 4 | 2020 | 140 | |
| 5 | 2011 | 97 | |
| 6 | 2002 | 95 | |
| 7 | 1999 | 88 | |
| 8 | 2022 | 77 | |
| 9 | 2005 | 74 | |
| 10 | 2011 | 72 | |
| 11 | 2010 | 71 | |
| 12 | 2007 | 67 | |
| 13 | 2006 | 62 | |
| 14 | 2013 | 56 | |
| 15 | 2011 | 52 | |
| 16 | 2015 | 52 | |
| 17 | 2011 | 51 | |
| 18 | 2018 | 49 | |
| 19 | 2015 | 48 | |
| 20 | 2003 | 46 |
About Chaojun Li
Chaojun Li is a scholar working on Molecular Biology, Physiology, Oncology, Cell Biology and Cancer Research, having authored 154 papers that have together received 3.8k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Microtubule and mitosis dynamics (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Liver Disease Diagnosis and Treatment (8 papers), Cancer, Hypoxia, and Metabolism (8 papers), Pancreatic function and diabetes (6 papers), Sperm and Testicular Function (6 papers) and Diet and metabolism studies (5 papers). The work is most often cited by research in Cancer Research (436 citations), Obstetrics and Gynecology (210 citations), Molecular Biology (1.9k citations), Aging (44 citations) and Cell Biology (339 citations). Chaojun Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bin Xue, Wen Ning, Augustine M.K. Choi, Feiyan Pan, Shan Jiang, Ning Shen, Carol Feghali‐Bostwick, Xiao Yu, Shiying Miao and Alfred L. Goldberg. Their work appears in journals such as Journal of Biological Chemistry, American Journal Of Pathology, Biochemical and Biophysical Research Communications, FEBS Letters and American Journal of Physiology-Lung Cellular and Molecular Physiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.